Ti5Nb人工钉扎中心NbTi超导体的磁通钉扎机制分析

采用棒基组合的装配方法，用热挤压和冷加工相结合的工艺制备了岛状Ti5Nb人工钉扎中心NbTi超导体，其中Ti5Nb体积含量为10％。通过对此超导体进行详细的磁通钉扎机制分析，认为样品的磁通钉扎力特征主要由正常相钉扎和Δκ扎相结合的机制决定。根据分析的结果，采用多源标度方法，很好地拟合了不同线径样品的磁通钉扎力密度随磁场变化的曲线。拟合的结果表明：样品在较低场下的性能主要由正常相钉扎机制决定，而在较高场下的性能主要由Δκ钉扎机制决定。并且随着线径的减小，正常相钉扎力密度和Δκ钉扎力密度均有不同程度的提高。     

基于人工智能的钛合金热变形工艺参数优化

在深入分析热变形工艺参数对Ti-15-3合金显微组织及成形载荷的影响的基础上,以变形温度、变形程度和变形速率等热变形工艺参数作为设计变量,以显微组织和成形力的最佳综合为目标,建立了该合金热塑性成形工艺参数的多目标优化数学模型。以显微组织参数和成形力的人工神经网络预测模型作为优化算法的知识源,将人工神经网络与修正的遗传算法相结合,对Ti-15-3合金的热塑性成形工艺参数进行优化。结果表明,提出的修正的遗传算法是有效的,采用将其与人工神经网络相结合的方法对钛合金的热塑性成形工艺参数进行优化是可行的。     

用于气体保护焊的自动混气设备

介绍了一种用于焊接现场的气体保护焊的自动混气设备，该设备能精确控制气体混合比例。设备主要由气体传输、气体混合、信号检测和电气控制几大部分组成。计算机适时采集、显示混合气体的混合比例、输出压力、气体湿度等信息，超限发出声光报警。混气设备通过气体分析仪、比例阀和计算机形成闭环控制，从而实现气体混合比例的精确控制。     

ANN valuation model of material LCIA profile

Weighting model is the only valuation model of life cycle impact assessment(LCIA) profile now. It simplifies evaluation function into linear function, and makes the determination of weighting factor complicated. Therefore the valuation of LCIA profile is the most critical and controversial step in life cycle assessment(LCA). Development on valuation models, which are understood easily and accepted widely, is urgently needed in the field of LCA.The modeling approaches for the linear evaluation function were summed up. The modeling approaches for the nonlinear evaluation function were set up by function approximation theory, which include choosing preference products, forming preference data, establishing artificial neural network(ANN) and training ANN by preference data.By selecting 7 material products as preference product, experience was done with modeling approaches of the nonlinear evaluation function. The results show that the modeling approaches and valuation model of the nonlinear evaluation function are more practical than the weighting model.     

消失模铸造充型过程的模拟方法

通过分析消失模铸造充型过程的特点，提出了一种消失模铸造充型过程的计算模型，并用人工神经网络算法计算了充型过程中不同时刻液态金属-模样界面的位置．模拟计算结果与实际测试结果无论在充型形态还是充型时间上都符合得较好．     

基于人工神经网络的结构钢回火后力学性能预测

利用多层前向神经网络，使用B－P算法对结构钢回火性能预测进行了研究。通过利用99种钢450余组训练数据样本对神经网络进行训练，建立了结构钢回火后的力学性能与金属成分和回火温度之间的隐性函数。并针对训练用样本不足的问题，设计了为网络提供自学功能软件，在钢完全淬透的前提下，用此神经网络模型可在一定精度范围内预测结构钢的回火力学性能。     

环形截面提升管内颗粒的运动行为

采用PDPA(phase Doppler particle analyzer system)及磷光颗粒示踪技术对环形截面提升管中颗粒的运动行为进行了研究。与传统提升管相比，环形截面提升管中颗粒速度分布的均匀性有所改善，其最高速度与最低速度之差变小。环形截面提升管最大速度值出现在相对径向位置φ=0.3-0．4处。与传统提升管相似，环形截面提升管内颗粒的轴向返混较严重，停留时间分布曲线存在较明显的拖尾，其中颗粒的轴向Peclet数与传统提升管也处于同一数量级范围。提升管床结构的改变并未显著改变其中气固流动的微观相结构，稀相与密相颗粒团微观两相仍然存在，这种微观相结构是造成颗粒严重返混的决定性原因：稀相中的颗粒与密相颗粒团中的颗粒分别造成了颗粒停留时间分布曲线的前峰与拖尾峰。     

用人工神经网络方法预测鼓泡塔气含率

A new correlation for the prediction of gas hod up in bubble columns was proposed based on an extensive experimental database set up from the literature published over last 30 years .The updated estimation method relying on artificial neural network,dimensional analysis and phenomenological approaches was used and the model prediction agreed with the experimental data with average relative error less than 10%.     

Determination of the solubility parameter of poly(ethylene oxide) at 25°C by gas-liquid chromatography

The solubility parameter of poly(ethylene oxide) at 25°C has been determined using the method developed by DiPaola-Baranyi and Guillet, by the extrapolation of the values of the interaction parameter χ, at high temperatures, ranging from 70°–90°, 90°–110° and 110°–130°C down to 25°C. The values of the solubility parameter obtained, depending on the temperature ranges employed, are 9.8, 9.9 and 10.1, respectively.     

Current problems in the modelling of chemical reactors

Modelling of chemical reactors is reviewed with an emphasis on process development and scale-up. A distinction is made between modelling of chemical kinetics, of rate processes in volume elements and of whole reactors. Examples are mainly taken from papers presented at the Sixth International Symposium on Chemical Reaction Engineering. Special attention is given to the modelling of single phase reactors, fixed beds, trickle beds, fluid beds, and gas bubble reactors.